DevOps Engineering Intern
Dallas, IA - USA
Job Summary
Copart Inc. a technology leader and the premier online vehicle auction platform globally with over 200 facilities located across the world Copart links vehicle sellers to more than 750000 buyers in over 190 countries. We believe in providing an unmatched experience every day and everywhere driven by our people processes and technology.
- Assist in deploying and maintaining applications in cloud and on-premises environments.
- Support containerized application deployments using Docker and Kubernetes.
- Contribute to Infrastructure as Code (IaC) initiatives using tools such as Terraform or Ansible.
- Help develop and maintain CI/CD pipelines for automated testing and deployments.
- Assist with environment provisioning configuration management and automation tasks.
- Participate in platform monitoring logging and troubleshooting activities.
- Assist with deployment and monitoring of machine learning and AI applications.
- Support AI workflows including model deployment and inference services.
- Collaborate with Data Science and Engineering teams to operationalize ML models.
- Learn and apply MLOps best practices including model versioning and monitoring.
- Support AI infrastructure and resource optimization activities.
- Deploy and support Python and Java-based applications.
- Assist in maintaining development testing and production environments.
- Support workflow automation tools such as n8n and related platforms.
- Troubleshoot application and infrastructure issues under guidance from senior engineers.
- Create and maintain deployment documentation and operational procedures.
- Monitor application health performance and availability.
- Respond to operational alerts and assist in incident resolution.
- Participate in root cause analysis and continuous improvement initiatives.
- Help improve observability through dashboards logging and alerting systems.
- Work closely with engineering product and data teams on project delivery.
- Participate in technical discussions planning sessions and sprint activities.
- Follow organizational security reliability and DevOps standards.
- Document processes procedures and technical solutions.
- Currently pursuing or recently completed a degree in Computer Science Information Technology Software Engineering or a related field.
- Understanding of Linux administration and command-line tools.
- Familiarity with Docker and containerized applications.
- Exposure to Kubernetes concepts and orchestration.
- Experience with Python Java Bash or similar programming languages.
- Familiarity with Git and version control workflows.
- Basic understanding of CI/CD concepts and automation tools.
- Knowledge of cloud platforms such as AWS Azure or Google Cloud.
- Exposure to machine learning AI applications or MLOps concepts is a plus.
- Strong problem-solving communication and collaboration skills.
- Personal academic or internship projects involving Kubernetes or cloud deployments.
- Experience with Terraform Ansible Jenkins GitHub Actions or GitLab CI/CD.
- Familiarity with monitoring tools such as Prometheus and Grafana.
- Exposure to AI/ML frameworks such as TensorFlow PyTorch or MLflow.
- Experience building automation scripts using Python.
#LS-MS1
At Copart we are focused on harnessing the power of diversity inclusion and collaboration. By embracing diverse perspectives we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated included and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
Required Experience:
Intern
About Company
Register to start bidding & winning! Global leader in 100% online auto auctions. 175,000+ total loss salvage, used, wholesale and repairable cars, trucks, SUVs, motorcycles, and more available for sale.